{"id":"https://openalex.org/W7140082461","doi":"https://doi.org/10.48550/arxiv.2603.19822","title":"HUGE-Bench: A Benchmark for High-Level UAV Vision-Language-Action Tasks","display_name":"HUGE-Bench: A Benchmark for High-Level UAV Vision-Language-Action Tasks","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7140082461","doi":"https://doi.org/10.48550/arxiv.2603.19822"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.19822","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19822","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.19822","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130379457","display_name":"Jingyu Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Jingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010510572","display_name":"Ziye Chen","orcid":"https://orcid.org/0000-0002-1866-0803"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Ziye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130374785","display_name":"Ziwen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ziwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102647008","display_name":"Zhengqing Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Zhengqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130346784","display_name":"Jiaxin Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Jiaxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018003211","display_name":"Hanlue Zhang","orcid":"https://orcid.org/0009-0002-7062-4997"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Hanlue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130343670","display_name":"Fengming Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Fengming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130396706","display_name":"Yu Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130390110","display_name":"Tongliang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Tongliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130393846","display_name":"Mingming Gong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gong, Mingming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5274999737739563,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5274999737739563,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.2460000067949295,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.02669999934732914,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6633999943733215},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6345999836921692},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6011999845504761},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.53329998254776},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48829999566078186},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45080000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7940999865531921},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6633999943733215},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6345999836921692},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6011999845504761},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.53329998254776},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48829999566078186},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45080000162124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4350000023841858},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42649999260902405},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4002000093460083},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3828999996185303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3675000071525574},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.26489999890327454},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26030001044273376}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.19822","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19822","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.19822","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19822","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Existing":[0],"UAV":[1,47,145],"vision-language":[2],"navigation":[3],"(VLN)":[4],"benchmarks":[5],"have":[6],"enabled":[7],"language-guided":[8],"flight,":[9],"but":[10],"they":[11],"largely":[12],"focus":[13],"on":[14,86,122],"long,":[15],"step-wise":[16],"route":[17],"descriptions":[18],"with":[19,65,98],"goal-centric":[20],"evaluation,":[21],"making":[22],"them":[23],"less":[24],"diagnostic":[25,141],"for":[26,45,101,143],"real":[27],"operations":[28],"where":[29],"brief,":[30],"high-level":[31,76,131,144],"commands":[32],"must":[33],"be":[34],"grounded":[35],"into":[36],"safe":[37,135],"multi-stage":[38],"behaviors.":[39],"We":[40,107],"present":[41],"HUGE-Bench,":[42],"a":[43,140],"benchmark":[44],"High-Level":[46],"Vision-Language-Action":[48],"(HL-VLA)":[49],"tasks":[50],"that":[51,94],"tests":[52],"whether":[53],"an":[54,87],"agent":[55],"can":[56],"interpret":[57],"concise":[58],"language":[59],"and":[60,78,83,104,110,119,134],"execute":[61],"complex,":[62],"process-oriented":[63,109],"trajectories":[64],"safety":[66],"awareness.":[67],"HUGE-Bench":[68,138],"comprises":[69],"4":[70],"real-world":[71],"digital":[72],"twin":[73],"scenes,":[74],"8":[75],"tasks,":[77],"2.56M":[79],"meters":[80],"of":[81],"trajectories,":[82],"is":[84],"built":[85],"aligned":[88],"3D":[89],"Gaussian":[90],"Splatting":[91],"(3DGS)-Mesh":[92],"representation":[93],"combines":[95],"photorealistic":[96],"rendering":[97],"collision-capable":[99],"geometry":[100],"scalable":[102],"generation":[103],"collision-aware":[105,111],"evaluation.":[106],"introduce":[108],"metrics":[112],"to":[113],"assess":[114],"process":[115],"fidelity,":[116],"terminal":[117],"accuracy,":[118],"safety.":[120],"Experiments":[121],"representative":[123],"state-of-the-art":[124],"VLA":[125],"models":[126],"reveal":[127],"significant":[128],"gaps":[129],"in":[130],"semantic":[132],"completion":[133],"execution,":[136],"highlighting":[137],"as":[139],"testbed":[142],"autonomy.":[146]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-24T00:00:00"}